Modelling of the spread of Dothistroma septosporum in Europe
Summary Dothistroma needle blight (DNB), a disease affecting several pine species, is currently generating great concern in Europe. Caused by Dothistroma pini and Dothistroma septosporum, DNB affects pine needles and causes premature defoliation, which results in growth reduction and, in extreme cas...
Gespeichert in:
Veröffentlicht in: | Forest pathology = Journal de pathologie forestière = Zeitschrift für Forstpathologie 2017-06, Vol.47 (3), p.n/a |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | n/a |
---|---|
container_issue | 3 |
container_start_page | |
container_title | Forest pathology = Journal de pathologie forestière = Zeitschrift für Forstpathologie |
container_volume | 47 |
creator | Möykkynen, T. Fraser, S. Woodward, S. Brown, A. Pukkala, T. Cleary, M. |
description | Summary
Dothistroma needle blight (DNB), a disease affecting several pine species, is currently generating great concern in Europe. Caused by Dothistroma pini and Dothistroma septosporum, DNB affects pine needles and causes premature defoliation, which results in growth reduction and, in extreme cases, mortality. The disease has increased in importance in Europe over the last 20 years, with an increase in the number of observations of DNB in regions with large areas of Pinus sylvestris in northern Europe. This article presents a cell‐based spatiotemporal model for predicting the likelihood and intensity of the future spread of D. septosporum in Europe. Here, “spread” includes both invasion of new regions and infection of healthy stands within already‐colonized regions. Predicted spread depends on the availability of host species, climatic suitability of different regions to D. septosporum and dispersal of sexual and asexual spores from infected trees to surrounding forests via water splash, mist and wind. Long‐distance spread through transport of infected seedlings is also included in the model. Simulations of spread until 2007 and 2015 were used to validate the model. These simulations produced similar patterns of spread to those observed in Europe. Simulations for 2030 suggested that additional and new outbreaks are likely to occur in Scotland, southern Norway, southern and central Sweden, northern parts of Germany and Poland, Estonia, Latvia and south‐west Finland. Preventing the delivery of infected seedlings would be an effective method for reducing the spread of D. septosporum in the Nordic countries, Scotland and Ireland, the Baltic countries, and parts of Germany, Poland and Belarus. In these states, prevention of transport of infected seedlings can reduce the probability of additional spread by 15%–40%. |
doi_str_mv | 10.1111/efp.12332 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1906730347</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1906730347</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2972-6e74276006bcf776410e02bf93f4477447db39d1ffada9b40c93c9e13bf58b363</originalsourceid><addsrcrecordid>eNp1kEtLAzEQgIMoWKsH_8GCJw_bTh4mG_AidatCRQ96DvuY2C3bJia7SP-9265XB4aZgW9m4CPkmsKMDjFH62eUcc5OyIQKrlPgTJ8ee5UKldFzchHjBgCUzPSE3L-6Gtu22X0lzibdGpPoAxb1YXp03bqJXXDbIonoOxe9C_02aXZJ3gfn8ZKc2aKNePVXp-RzmX8sntPV29PL4mGVVkwrlkpUgikJIMvKKiUFBQRWWs2tEEoNWZdc19Taoi50KaDSvNJIeWnvspJLPiU3410f3HePsTMb14fd8NJQDVJx4EIN1O1IVcHFGNAaH5ptEfaGgjnIMYMcc5QzsPOR_Wla3P8Pmnz5Pm78AlbIZKc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1906730347</pqid></control><display><type>article</type><title>Modelling of the spread of Dothistroma septosporum in Europe</title><source>Wiley Online Library All Journals</source><creator>Möykkynen, T. ; Fraser, S. ; Woodward, S. ; Brown, A. ; Pukkala, T. ; Cleary, M.</creator><contributor>Cleary, M.</contributor><creatorcontrib>Möykkynen, T. ; Fraser, S. ; Woodward, S. ; Brown, A. ; Pukkala, T. ; Cleary, M. ; Cleary, M.</creatorcontrib><description>Summary
Dothistroma needle blight (DNB), a disease affecting several pine species, is currently generating great concern in Europe. Caused by Dothistroma pini and Dothistroma septosporum, DNB affects pine needles and causes premature defoliation, which results in growth reduction and, in extreme cases, mortality. The disease has increased in importance in Europe over the last 20 years, with an increase in the number of observations of DNB in regions with large areas of Pinus sylvestris in northern Europe. This article presents a cell‐based spatiotemporal model for predicting the likelihood and intensity of the future spread of D. septosporum in Europe. Here, “spread” includes both invasion of new regions and infection of healthy stands within already‐colonized regions. Predicted spread depends on the availability of host species, climatic suitability of different regions to D. septosporum and dispersal of sexual and asexual spores from infected trees to surrounding forests via water splash, mist and wind. Long‐distance spread through transport of infected seedlings is also included in the model. Simulations of spread until 2007 and 2015 were used to validate the model. These simulations produced similar patterns of spread to those observed in Europe. Simulations for 2030 suggested that additional and new outbreaks are likely to occur in Scotland, southern Norway, southern and central Sweden, northern parts of Germany and Poland, Estonia, Latvia and south‐west Finland. Preventing the delivery of infected seedlings would be an effective method for reducing the spread of D. septosporum in the Nordic countries, Scotland and Ireland, the Baltic countries, and parts of Germany, Poland and Belarus. In these states, prevention of transport of infected seedlings can reduce the probability of additional spread by 15%–40%.</description><identifier>ISSN: 1437-4781</identifier><identifier>EISSN: 1439-0329</identifier><identifier>DOI: 10.1111/efp.12332</identifier><language>eng</language><publisher>Berlin: Wiley Subscription Services, Inc</publisher><subject>Blight ; Computer simulation ; Defoliation ; Dispersal ; Dispersion ; Dothistroma pini ; Dothistroma septosporum ; Forests ; Infections ; invasive pathogen ; Mathematical models ; Mist ; Mortality ; Needle blight ; Outbreaks ; pathogen pathways ; Pest outbreaks ; Pine ; Pine needles ; Pine trees ; Prevention ; red band needle blight ; Seedlings ; Simulation ; spatiotemporal model ; Spores ; spread model ; Transport ; Trees ; Wind</subject><ispartof>Forest pathology = Journal de pathologie forestière = Zeitschrift für Forstpathologie, 2017-06, Vol.47 (3), p.n/a</ispartof><rights>2017 Blackwell Verlag GmbH</rights><rights>Copyright © 2017 Blackwell Verlag GmbH</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2972-6e74276006bcf776410e02bf93f4477447db39d1ffada9b40c93c9e13bf58b363</citedby><cites>FETCH-LOGICAL-c2972-6e74276006bcf776410e02bf93f4477447db39d1ffada9b40c93c9e13bf58b363</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fefp.12332$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fefp.12332$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><contributor>Cleary, M.</contributor><creatorcontrib>Möykkynen, T.</creatorcontrib><creatorcontrib>Fraser, S.</creatorcontrib><creatorcontrib>Woodward, S.</creatorcontrib><creatorcontrib>Brown, A.</creatorcontrib><creatorcontrib>Pukkala, T.</creatorcontrib><creatorcontrib>Cleary, M.</creatorcontrib><title>Modelling of the spread of Dothistroma septosporum in Europe</title><title>Forest pathology = Journal de pathologie forestière = Zeitschrift für Forstpathologie</title><description>Summary
Dothistroma needle blight (DNB), a disease affecting several pine species, is currently generating great concern in Europe. Caused by Dothistroma pini and Dothistroma septosporum, DNB affects pine needles and causes premature defoliation, which results in growth reduction and, in extreme cases, mortality. The disease has increased in importance in Europe over the last 20 years, with an increase in the number of observations of DNB in regions with large areas of Pinus sylvestris in northern Europe. This article presents a cell‐based spatiotemporal model for predicting the likelihood and intensity of the future spread of D. septosporum in Europe. Here, “spread” includes both invasion of new regions and infection of healthy stands within already‐colonized regions. Predicted spread depends on the availability of host species, climatic suitability of different regions to D. septosporum and dispersal of sexual and asexual spores from infected trees to surrounding forests via water splash, mist and wind. Long‐distance spread through transport of infected seedlings is also included in the model. Simulations of spread until 2007 and 2015 were used to validate the model. These simulations produced similar patterns of spread to those observed in Europe. Simulations for 2030 suggested that additional and new outbreaks are likely to occur in Scotland, southern Norway, southern and central Sweden, northern parts of Germany and Poland, Estonia, Latvia and south‐west Finland. Preventing the delivery of infected seedlings would be an effective method for reducing the spread of D. septosporum in the Nordic countries, Scotland and Ireland, the Baltic countries, and parts of Germany, Poland and Belarus. In these states, prevention of transport of infected seedlings can reduce the probability of additional spread by 15%–40%.</description><subject>Blight</subject><subject>Computer simulation</subject><subject>Defoliation</subject><subject>Dispersal</subject><subject>Dispersion</subject><subject>Dothistroma pini</subject><subject>Dothistroma septosporum</subject><subject>Forests</subject><subject>Infections</subject><subject>invasive pathogen</subject><subject>Mathematical models</subject><subject>Mist</subject><subject>Mortality</subject><subject>Needle blight</subject><subject>Outbreaks</subject><subject>pathogen pathways</subject><subject>Pest outbreaks</subject><subject>Pine</subject><subject>Pine needles</subject><subject>Pine trees</subject><subject>Prevention</subject><subject>red band needle blight</subject><subject>Seedlings</subject><subject>Simulation</subject><subject>spatiotemporal model</subject><subject>Spores</subject><subject>spread model</subject><subject>Transport</subject><subject>Trees</subject><subject>Wind</subject><issn>1437-4781</issn><issn>1439-0329</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kEtLAzEQgIMoWKsH_8GCJw_bTh4mG_AidatCRQ96DvuY2C3bJia7SP-9265XB4aZgW9m4CPkmsKMDjFH62eUcc5OyIQKrlPgTJ8ee5UKldFzchHjBgCUzPSE3L-6Gtu22X0lzibdGpPoAxb1YXp03bqJXXDbIonoOxe9C_02aXZJ3gfn8ZKc2aKNePVXp-RzmX8sntPV29PL4mGVVkwrlkpUgikJIMvKKiUFBQRWWs2tEEoNWZdc19Taoi50KaDSvNJIeWnvspJLPiU3410f3HePsTMb14fd8NJQDVJx4EIN1O1IVcHFGNAaH5ptEfaGgjnIMYMcc5QzsPOR_Wla3P8Pmnz5Pm78AlbIZKc</recordid><startdate>201706</startdate><enddate>201706</enddate><creator>Möykkynen, T.</creator><creator>Fraser, S.</creator><creator>Woodward, S.</creator><creator>Brown, A.</creator><creator>Pukkala, T.</creator><creator>Cleary, M.</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SS</scope><scope>7ST</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope></search><sort><creationdate>201706</creationdate><title>Modelling of the spread of Dothistroma septosporum in Europe</title><author>Möykkynen, T. ; Fraser, S. ; Woodward, S. ; Brown, A. ; Pukkala, T. ; Cleary, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2972-6e74276006bcf776410e02bf93f4477447db39d1ffada9b40c93c9e13bf58b363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Blight</topic><topic>Computer simulation</topic><topic>Defoliation</topic><topic>Dispersal</topic><topic>Dispersion</topic><topic>Dothistroma pini</topic><topic>Dothistroma septosporum</topic><topic>Forests</topic><topic>Infections</topic><topic>invasive pathogen</topic><topic>Mathematical models</topic><topic>Mist</topic><topic>Mortality</topic><topic>Needle blight</topic><topic>Outbreaks</topic><topic>pathogen pathways</topic><topic>Pest outbreaks</topic><topic>Pine</topic><topic>Pine needles</topic><topic>Pine trees</topic><topic>Prevention</topic><topic>red band needle blight</topic><topic>Seedlings</topic><topic>Simulation</topic><topic>spatiotemporal model</topic><topic>Spores</topic><topic>spread model</topic><topic>Transport</topic><topic>Trees</topic><topic>Wind</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Möykkynen, T.</creatorcontrib><creatorcontrib>Fraser, S.</creatorcontrib><creatorcontrib>Woodward, S.</creatorcontrib><creatorcontrib>Brown, A.</creatorcontrib><creatorcontrib>Pukkala, T.</creatorcontrib><creatorcontrib>Cleary, M.</creatorcontrib><collection>CrossRef</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Forest pathology = Journal de pathologie forestière = Zeitschrift für Forstpathologie</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Möykkynen, T.</au><au>Fraser, S.</au><au>Woodward, S.</au><au>Brown, A.</au><au>Pukkala, T.</au><au>Cleary, M.</au><au>Cleary, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling of the spread of Dothistroma septosporum in Europe</atitle><jtitle>Forest pathology = Journal de pathologie forestière = Zeitschrift für Forstpathologie</jtitle><date>2017-06</date><risdate>2017</risdate><volume>47</volume><issue>3</issue><epage>n/a</epage><issn>1437-4781</issn><eissn>1439-0329</eissn><abstract>Summary
Dothistroma needle blight (DNB), a disease affecting several pine species, is currently generating great concern in Europe. Caused by Dothistroma pini and Dothistroma septosporum, DNB affects pine needles and causes premature defoliation, which results in growth reduction and, in extreme cases, mortality. The disease has increased in importance in Europe over the last 20 years, with an increase in the number of observations of DNB in regions with large areas of Pinus sylvestris in northern Europe. This article presents a cell‐based spatiotemporal model for predicting the likelihood and intensity of the future spread of D. septosporum in Europe. Here, “spread” includes both invasion of new regions and infection of healthy stands within already‐colonized regions. Predicted spread depends on the availability of host species, climatic suitability of different regions to D. septosporum and dispersal of sexual and asexual spores from infected trees to surrounding forests via water splash, mist and wind. Long‐distance spread through transport of infected seedlings is also included in the model. Simulations of spread until 2007 and 2015 were used to validate the model. These simulations produced similar patterns of spread to those observed in Europe. Simulations for 2030 suggested that additional and new outbreaks are likely to occur in Scotland, southern Norway, southern and central Sweden, northern parts of Germany and Poland, Estonia, Latvia and south‐west Finland. Preventing the delivery of infected seedlings would be an effective method for reducing the spread of D. septosporum in the Nordic countries, Scotland and Ireland, the Baltic countries, and parts of Germany, Poland and Belarus. In these states, prevention of transport of infected seedlings can reduce the probability of additional spread by 15%–40%.</abstract><cop>Berlin</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1111/efp.12332</doi><tpages>14</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1437-4781 |
ispartof | Forest pathology = Journal de pathologie forestière = Zeitschrift für Forstpathologie, 2017-06, Vol.47 (3), p.n/a |
issn | 1437-4781 1439-0329 |
language | eng |
recordid | cdi_proquest_journals_1906730347 |
source | Wiley Online Library All Journals |
subjects | Blight Computer simulation Defoliation Dispersal Dispersion Dothistroma pini Dothistroma septosporum Forests Infections invasive pathogen Mathematical models Mist Mortality Needle blight Outbreaks pathogen pathways Pest outbreaks Pine Pine needles Pine trees Prevention red band needle blight Seedlings Simulation spatiotemporal model Spores spread model Transport Trees Wind |
title | Modelling of the spread of Dothistroma septosporum in Europe |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-21T01%3A22%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Modelling%20of%20the%20spread%20of%20Dothistroma%20septosporum%20in%20Europe&rft.jtitle=Forest%20pathology%20=%20Journal%20de%20pathologie%20foresti%C3%A8re%20=%20Zeitschrift%20f%C3%BCr%20Forstpathologie&rft.au=M%C3%B6ykkynen,%20T.&rft.date=2017-06&rft.volume=47&rft.issue=3&rft.epage=n/a&rft.issn=1437-4781&rft.eissn=1439-0329&rft_id=info:doi/10.1111/efp.12332&rft_dat=%3Cproquest_cross%3E1906730347%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1906730347&rft_id=info:pmid/&rfr_iscdi=true |